•Dopamine was grafted on the surface of the MOF-5 and a new type of Dopamine-Metal Organic Frameworks (DA-MOFs) was synthesized.•DA-MOFs can greatly enhance the barrier properties of the ...coatings.•DA-MOFs can enhance the coating of the cross-linked density.
In this study, dopamine (DA) was grafted on the surface of the Metal-Organic Frameworks (MOFs) and DA-MOFs were incorporated into waterborne epoxy coatings. The DA-MOFs were characterized using infrared spectroscopy, Thermogravimetric Analysis (TG), and X-ray diffraction (XRD). The coating properties was studied by using electrochemical impedance spectroscopy(EIS), salt spray test and adhesion test. Compared with epoxy resin coatings, coatings with DA-MOFs enhanced the properties of water resistance and corrosion resistance. The EIS results showed that the resistance value of coating with DA-MOFs was above 3.18×108Ωcm2. Corrosion protection performance of epoxy coating with 0.5wt% DA-MOFs was higher than others.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPUK, ZRSKP
Planar optics constructed from subwavelength artificial atoms have been suggested as a route to the physical realization of steganography with controlled intrinsic redundancy at single-pixel levels. ...Unfortunately, two-dimensional geometries with uniform flat profiles offer limited structural redundancy and make it difficult to create advanced crypto-information in multiplexed physical divisions. Here, we reveal that splashing three-dimensional (3D) plasmonic nanovolcanoes could allow for a steganographic strategy in angular anisotropy, with high resolution, full coloration, and transient control of structural profiles. Highly reproducible 3D morphologies of volcanic nanosplashes are demonstrated by creating a standardized recipe of laser parameters. Such single nanovolcanoes can be well controlled individually at different splashing stages and thus provide a lithography-free fashion to access various spectral responses of angularly coordinated transverse and vertical modes, leading to the full-range coloration. This chip-scale demonstration of steganographic color images in angular anisotropy unfolds a long-ignored scheme for structured metasurfaces and thereby provides a paradigm for information security and anticounterfeiting.
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IJS, KILJ, NUK, PNG, UL, UM
The solar cell market is predominantly based on textured screen-printed solar cells. Due to parasitic absorption in nanostructures, using plasmonic processes to obtain an enhancement that exceeds ...2.5% of the short-circuit photocurrent density is challenging. In this paper, a 7.2% enhancement in the photocurrent density can be achieved through the integration of plasmonic Al nanoparticles and wrinkle-like graphene sheets. For the first time, we experimentally achieve Al nanoparticle-enhanced solar cells. An innovative thermal evaporation method is proposed to fabricate low-coverage Al nanoparticle arrays on solar cells. Due to the ultraviolet (UV) plasmon resonance of Al nanoparticles, the performance enhancement of the solar cells is significantly greater than that from Ag nanoparticles. Subsequently, we deposit wrinkle-like graphene sheets over the Al nanoparticle-enhanced solar cells. Compared with planar graphene sheets, the bend carbon layer also exhibits a broadband light-trapping effect. Our results exceed the limit of plasmonic light trapping in textured screen-printed silicon solar cells.
Due to the intricate complexity of the original microbiota, residual heat-resistant enzymes, and chemical components, identifying the essential factors that affect dairy quality using traditional ...methods is challenging. In this study, raw milk, pasteurized milk, and ultra-heat-treated (UHT) milk samples were collectively analyzed using metagenomic next-generation sequencing (mNGS), high-throughput liquid chromatography-mass spectrometry (LC-MS), and gas chromatography–mass spectrometry (GC-MS). The results revealed that raw milk and its corresponding heated dairy products exhibited different trends in terms of microbiota shifts and metabolite changes during storage. Via the analysis of differences in microbiota and correlation analysis of the microorganisms present in differential metabolites in refrigerated pasteurized milk, the top three differential microorganisms with increased abundance, Microbacterium (p < 0.01), unclassified Actinomycetia class (p < 0.05), and Micrococcus (p < 0.01), were detected; these were highly correlated with certain metabolites in pasteurized milk (r > 0.8). This indicated that these genera were the main proliferating microorganisms and were the primary genera involved in the metabolism of pasteurized milk during refrigeration-based storage. Microorganisms with decreased abundance were classified into two categories based on correlation analysis with certain metabolites. It was speculated that the heat-resistant enzyme system of a group of microorganisms with high correlation (r > 0.8), such as Pseudomonas and Acinetobacter, was the main factor causing milk spoilage and that the group with lower correlation (r < 0.3) had a lower impact on the storage process of pasteurized dairy products. By comparing the metabolic pathway results based on metagenomic and metabolite annotation, it was proposed that protein degradation may be associated with microbial growth, whereas lipid degradation may be linked to raw milk’s initial heat-resistant enzymes. By leveraging the synergy of metagenomics and metabolomics, the interacting factors determining the quality evolution of dairy products were systematically investigated, providing a novel perspective for controlling dairy processing and storage effectively.
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IZUM, KILJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
Defects in the maintenance of protein homeostasis, or proteostasis, has emerged as an underlying feature of a variety of human pathologies, including aging-related diseases. Proteostasis is achieved ...through the coordinated action of cellular systems overseeing amino acid availability, mRNA translation, protein folding, secretion, and degradation. The regulation of these distinct systems must be integrated at various points to attain a proper balance. In a recent study, we found that the mechanistic target of rapamycin (mTOR) complex 1 (mTORC1) pathway, well known to enhance the protein synthesis capacity of cells while concordantly inhibiting autophagy, promotes the production of more proteasomes. Activation of mTORC1 genetically, through loss of the tuberous sclerosis complex (TSC) tumor suppressors, or physiologically, through growth factors or feeding, stimulates a transcriptional program involving the sterol-regulatory element binding protein 1 (SREBP1) and nuclear factor erythroid-derived 2-related factor 1 (NRF1; also known as NFE2L1) transcription factors leading to an increase in cellular proteasome content. As discussed here, our findings suggest that this increase in proteasome levels facilitates both the maintenance of proteostasis and the recovery of amino acids in the face of an increased protein load consequent to mTORC1 activation. We also consider the physiological and pathological implications of this unexpected new downstream branch of mTORC1 signaling.
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BFBNIB, GIS, IJS, KISLJ, NUK, PNG, UL, UM, UPUK
Insulator defect detection is of great significance to compromise the stability of the power transmission line. The state-of-the-art object detection network, YOLOv5, has been widely used in ...insulator and defect detection. However, the YOLOv5 network has limitations such as poor detection rate and high computational loads in detecting small insulator defects. To solve these problems, we proposed a light-weight network for insulator and defect detection. In this network, we introduced the Ghost module into the YOLOv5 backbone and neck to reduce the parameters and model size to enhance the performance of unmanned aerial vehicles (UAVs). Besides, we added small object detection anchors and layers for small defect detection. In addition, we optimized the backbone of YOLOv5 by applying convolutional block attention modules (CBAM) to focus on critical information for insulator and defect detection and suppress uncritical information. The experiment result shows the mean average precision (mAP) is set to 0.5, and the mAP is set from 0.5 to 0.95 of our model and can reach 99.4% and 91.7%; the parameters and model size were reduced to 3,807,372 and 8.79 M, which can be easily deployed to embedded devices such as UAVs. Moreover, the speed of detection can reach 10.9 ms/image, which can meet the real-time detection requirement.
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IZUM, KILJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
Analysis of biomolecules at the single-molecule level is a great challenge in molecular diagnostics, gene profiling, and environmental monitoring. In this work, we design a smart plasmonic ...nanobiosensor based on individual Au@Ag core–shell nanocube (Au@Ag NC) modified with tetrahedron-structured DNA (tsDNA) for detecting microRNA 21 (miR-21) at the single-molecule level. An average localized surface plasmon resonance (LSPR) scattering spectral wavelength shift of approximately 0.4 nm can be obtained for a single miR-21 hybridization event on the nanobiosensor. In addition, the sensing mechanism of the individual Au@Ag NC is further verified by the three-dimensional finite-difference time-domain (3D-FDTD) simulations. Notably, this system not only allows the real-time detection of miR-21 with an aM level sensitivity over a large dynamic range from 1 aM to 1 nM, but also enables DNA-based logic operations as well as biomemory by exploiting miR-21, KpnI, and StuI-responsive assays. Our study opens a unique method for single-molecule detection of biomolecules and thus holds great promise in a variety of biological and biomedical applications.
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IJS, KILJ, NUK, PNG, UL, UM
Highly efficient: The title reaction provides biologically interesting chiral trifluoromethyl dihydroquinazolinone frameworks in high yields (up to 97 %) and with high enantioselectivities (up to 98 ...% ee), using as low as 1 mol % of catalyst (see scheme). Moreover, anti‐HIV drug candidate DPC 083 was efficiently synthesized using the highly enantioselective aza‐Henry reaction as a key step.
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BFBNIB, FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SAZU, SBCE, SBMB, UL, UM, UPUK
CuS/MWCNTs counter electrode (CE) in high efficiency and stability is designed that CuS nanoparticles are grown on multi-wall carbon nanotubes (MWCNTs) in solutions to form CuS and MWCNTs composite ...in treelike structure that dispersed MWCNTs as branches support CuS nano-particles. The quantum dot sensitized solar cells (QDSCs) are assembled with CuS/MWCNT CE prepared with above composite, CdS and ZnS sensitized TiO2/RGO (reduced graphene oxide) photoanode and polysulfide electrolyte. The electrocatalytic activity of CEs can be analyzed through Nyquist curves and Tafel curves and typical photovoltaic parameters of QDSCs based on different CEs are obtained from J-V curves. CuS nanoparticles aggregate more severely with increase of CuS mass percentage according to TEM images and 100% CuS/MWCNTs CE within all samples exhibits the highest electrocatalytic activity and the power conversion efficiency (PCE) of QDSCs. Besides that, CuS/MWCNT CE exhibits the best photovoltaic stability. PCE of QDSCs with 100% CuS/MWCNTs CE decreases only 3%(from 5.254% to 5.086%) after 24 h illumination.
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•CuS/MWCNTs composite in treelike structure is prepared in solutions with one-step method. CuS nanoparticles are grown on MWCNTs branches in tree-like structure.•100% CuS/MWCNTs counter electrode possesses high photovoltaic performance (Voc = 0.618 V, Jsc = 18.680 mA/cm2, FF = 0.455, η = 5.254 %). Its power conversion efficiency decreases only 3 %(from 5.254 % to 5.086 %) after 24 h illumination.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPUK, ZAGLJ, ZRSKP
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